Shubham Kulkarni

15 papers A* 1A 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond.
CoRR
Shubham Kulkarni, Alexander Lyzhov, Shiva Chaitanya, Preetam Joshi
2026 J jnl
INSURE-Dial: A Phase-Aware Conversational Dataset & Benchmark for Compliance Verification and Phase Detection.
CoRR
Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi, Shiva Chaitanya
2026 — conf
INSURE-Dial: A Phase-Aware Conversational Dataset Benchmark for Compliance Verification and Phase Detection.
EACL (Volume 1: Long Papers)
Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi, Shiva Chaitanya
2024 A conf
DarkSim: A similarity-based time-series analytic framework for darknet traffic.
IMC
Max Gao, Ricky K. P. Mok, Esteban Carisimo, Eric Li, Shubham Kulkarni, K. C. Claffy
2024 — conf
EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.
ICSA-C
Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan
2024 J jnl
EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.
CoRR
Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan
2024 — conf
Reimagining Self-Adaptation in the Age of Large Language Models.
ICSA-C
Raghav Donakanti, Prakhar Jain, Shubham Kulkarni, Karthik Vaidhyanathan
2024 J jnl
Reimagining Self-Adaptation in the Age of Large Language Models.
CoRR
Raghav Donakanti, Prakhar Jain, Shubham Kulkarni, Karthik Vaidhyanathan
2024 — conf
SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.
SEAMS@ICSE
Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan
2024 J jnl
SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.
CoRR
Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan
2023 — conf
Self-Supervised Audio Encoder with Contrastive Pretraining for Respiratory Anomaly Detection.
ICASSP Workshops
Shubham Kulkarni, Hideaki Watanabe, Fuminori Homma
2023 A* conf
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.
ASE
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan
2023 J jnl
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.
CoRR
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan
2023 — conf
Visual Expertise Explains Image Inversion Effects.
UniReps
Martha Gahl, Shubham Kulkarni, Nikhil Pathak, Alex Russell, Garrison W. Cottrell
2022 J jnl
Improved Filter Ranking Incorporated Binary Black Hole Algorithm for Feature Selection.
SN Comput. Sci.
Prasad Ovhal, Shubham Kulkarni, Jayaraman K. Valadi